Injrury Outcomes - WHW matrices

Who Hit Whom matrix (normalized to annual figures)

Who hit whom matrix for all scenarios for each case study

Who hit whom matrix of each case study (by baseline + scenarios)

Accra

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	1	0.1	2
motorcycle	7	0	0.7	0.2	8
car	72	11	0	2	85
bus	34	7	4	0	45
truck	16	6	8	6	35
other	3	0.5	0.7	0.2	4
unknown	18	0.9	0.5	0	19
NOV	0.3	4	17	8	30
Total	150	30	32	17	228

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	1	0.12	3
motorcycle	9	0	0.67	0.19	10
car	90	10	0	2	103
bus	43	7	3	0	53
truck	20	6	8	6	39
other	3	0.49	0.69	0.2	5
unknown	23	0.88	0.49	0	24
NOV	0.38	4	17	8	29
Total	189	30	31	16	266

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0.91	1	0.09	2
motorcycle	7	0	0.65	0.18	8
car	66	10	0	2	78
bus	31	7	3	0	41
truck	15	6	8	5	33
other	2	0.46	0.64	0.18	4
unknown	17	0.85	0.48	0	18
NOV	0.29	4	16	8	29
Total	138	29	30	16	213

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0.58	1	0.06	2
motorcycle	4	0	0.63	0.11	5
car	74	11	0	2	87
bus	19	4	3	0	26
truck	11	4	9	4	27
other	1	0.22	0.51	0.09	2
unknown	12	0.61	0.55	0	14
NOV	0.23	3	22	6	31
Total	122	23	36	12	194

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	6	0.3	0.03	7
motorcycle	52	0	4	1	57
car	19	49	0	0.42	69
bus	9	33	0.7	0	42
truck	8	49	3	2	62
other	0.64	2	0.12	0.03	3
unknown	9	8	0.18	0	17
NOV	0.18	40	8	4	52
Total	98	188	15	7	308

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	1	0.1	2
motorcycle	7	0	0.69	0.2	8
car	72	11	0	2	85
bus	34	7	4	0	45
truck	16	6	8	6	35
other	3	0.5	0.7	0.2	4
unknown	18	0.9	0.5	0	19
NOV	0.3	4	17	8	30
Total	150	30	32	17	229

Bangalore

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
pedestrian	0	0	3	0	0	3
cycle	0	0	1	0	0	1
motorcycle	119	3	0	3	0	125
car	87	7	47	0	0	141
bus	39	1	59	4	0	103
truck	62	4	102	7	4	179
unknown	66	6	18	2	0	92
NOV			72	10	14	96
Total	373	21	302	26	18	740

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
pedestrian	0	0	4	0	0	4
cycle	0	0	0.81	0	0	0.81
motorcycle	154	2	0	3	0	160
car	112	6	43	0	0	161
bus	51	0.81	54	4	0	109
truck	84	3	98	7	4	196
unknown	89	5	17	2	0	113
NOV			69	10	13	92
Total	490	17	287	25	17	836

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
pedestrian	0	0	3	0	0	3
cycle	0	0	2	0	0	2
motorcycle	115	5	0	3	0	123
car	84	13	45	0	0	141
bus	38	2	56	4	0	100
truck	61	7	100	7	4	179
unknown	65	11	18	2	0	96
NOV			70	10	14	94
Total	362	38	293	25	18	736

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
pedestrian	0	0	1	0	0	1
cycle	0	0	0.34	0	0	0.34
motorcycle	49	1	0	10	0	60
car	388	25	152	0	0	565
bus	16	0.34	18	13	0	47
truck	47	2	56	41	2	149
unknown	50	4	10	12	0	75
NOV			39	59	8	106
Total	550	33	276	134	10	1004

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
pedestrian	0	0	3	0	0	3
cycle	0	0	1	0	0	1
motorcycle	123	3	0	3	0	129
car	79	6	46	0	0	132
bus	35	0.91	58	3	0	98
truck	61	4	108	7	4	183
unknown	65	6	19	2	0	91
NOV			76	9	13	98
Total	364	20	311	24	17	736

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
pedestrian	0	0	2	0	0	2
cycle	0	0	0.55	0	0	0.55
motorcycle	83	2	0	1	0	86
car	59	4	18	0	0	81
bus	72	1	60	4	0	137
truck	70	4	64	4	7	148
unknown	74	5	11	1	0	92
NOV			45	6	23	74
Total	358	16	201	17	30	621

Belo Horizonte

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	2	0	0	2
motorcycle	58	0	0.82	0	59
car	69	43	0	0.57	112
bus	56	42	24	0	122
rail	5	0	0.27	0.38	5
other	0.27	0.63	0	0	0.9
NOV		61	81	5	147
Total	188	148	106	6	449

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	3	0	0	3
motorcycle	79	0	0.75	0	80
car	91	40	0	0.53	131
bus	77	40	23	0	139
rail	7	0	0.25	0.37	7
other	0.37	0.61	0	0	0.98
NOV		60	77	5	141
Total	253	142	100	6	502

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	2	0	0	2
motorcycle	54	0	0.76	0	54
car	63	40	0	0.53	103
bus	52	39	23	0	113
rail	4	0	0.25	0.37	5
other	0.25	0.61	0	0	0.86
NOV		59	78	5	142
Total	173	140	101	6	421

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0.98	0	0	0.98
motorcycle	30	0	0.94	0	31
car	102	50	0	0.71	153
bus	31	18	30	0	79
rail	3	0	0.45	0.24	4
other	0.2	0.37	0	0	0.56
NOV		39	149	3	191
Total	167	107	181	4	459

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	12	0	0	12
motorcycle	349	0	4	0	353
car	21	201	0	0.12	222
bus	15	173	5	0	193
rail	2	0	0.11	0.14	3
other	0.14	5	0	0	5
NOV		590	39	2	632
Total	388	981	48	2	1419

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	2	0	0	2
motorcycle	58	0	0.81	0	59
car	68	43	0	0.57	111
bus	57	42	24	0	123
rail	5	0	0.27	0.39	5
other	0.27	0.63	0	0	0.9
NOV		61	81	5	147
Total	188	148	106	6	448

Bogota

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	3	0	0.34	3
motorcycle	80	0	0.28	0	81
car	107	47	0	0.33	154
bus	61	32	2	0	95
truck	13	19	0.81	0	33
unknown	8	0	0	0	8
NOV		36	16	8	60
Total	269	136	20	8	434

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	4	0	0.47	5
motorcycle	111	0	0.26	0	111
car	144	43	0	0.31	188
bus	84	30	2	0	117
truck	19	18	0.77	0	38
unknown	11	0	0	0	11
NOV		35	16	7	58
Total	369	131	19	8	527

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	3	0	0.32	3
motorcycle	74	0	0.26	0	74
car	98	43	0	0.31	141
bus	56	30	2	0	88
truck	13	18	0.77	0	31
unknown	7	0	0	0	7
NOV		35	16	7	58
Total	248	128	19	8	404

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	2	0	0.19	2
motorcycle	42	0	0.32	0	43
car	152	53	0	0.39	205
bus	33	14	3	0	50
truck	10	11	1	0	22
unknown	6	0	0	0	6
NOV		23	29	5	57
Total	243	103	33	6	385

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	21	0	0.1	21
motorcycle	551	0	1	0	553
car	32	242	0	0.07	274
bus	17	154	0.51	0	172
truck	7	176	0.33	0	183
unknown	4	0	0	0	4
NOV		392	8	3	403
Total	612	984	10	4	1609

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	3	0	0.34	3
motorcycle	80	0	0.28	0	81
car	106	46	0	0.33	153
bus	61	32	2	0	96
truck	13	19	0.81	0	33
unknown	8	0	0	0	8
NOV		36	16	8	60
Total	269	136	20	8	434

Buenos Aires

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	246	14	187	75	4	526
Total	246	14	187	75	4	526

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	309	13	182	73	4	580
Total	309	13	182	73	4	580

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	242	29	185	73	4	534
Total	242	29	185	73	4	534

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	174	10	114	130	3	431
Total	174	10	114	130	3	431

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	144	8	1890	33	2	2077
Total	144	8	1890	33	2	2077

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	312	11	121	49	5	499
Total	312	11	121	49	5	499

Cape Town

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	6	0	7
motorcycle	8	0	2	0	10
car	302	36	0	18	356
bus	61	6	34	0	101
truck	26	1	10	0.5	38
other	4	2	4	0.5	11
unknown	15	2	12	0	29
NOV		0	169	4	174
Total	416	48	238	23	726

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	7	0	8
motorcycle	10	0	2	0	12
car	378	35	0	17	430
bus	76	6	32	0	115
truck	33	1	10	0.49	45
other	6	2	4	0.49	12
unknown	19	1	12	0	33
NOV		0	165	4	170
Total	523	47	232	22	824

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	5	0	6
motorcycle	8	0	2	0	10
car	278	34	0	16	328
bus	56	6	31	0	93
truck	25	1	10	0.48	36
other	4	2	4	0.48	11
unknown	15	1	11	0	28
NOV		0	161	4	165
Total	386	45	225	22	677

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	6	0	7
motorcycle	8	0	2	0	10
car	302	36	0	18	356
bus	61	6	34	0	101
truck	26	1	10	0.5	38
other	4	2	4	0.5	11
unknown	15	2	12	0	29
NOV		0	169	4	174
Total	415	49	238	23	725

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	22	2	0	23
motorcycle	194	0	38	0	232
car	88	468	0	3	560
bus	16	76	6	0	98
truck	16	35	5	0.21	56
other	3	49	2	0.21	54
unknown	10	42	5	0	57
NOV		0	76	2	78
Total	327	693	134	6	1160

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0.48	4	0	4
motorcycle	3	0	0.4	0	3
car	218	7	0	20	246
bus	123	4	33	0	160
truck	32	0.44	6	0.99	39
other	6	0.62	3	0.99	10
unknown	19	0.53	7	0	27
NOV		0	100	8	108
Total	400	13	153	30	597

Delhi

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	82	8	0	2	1	93
car	200	35	141	0	2	378
bus	61	15	60	6	0	142
truck	95	25	139	25	1	285
unknown	427	30	260	21	0	738
NOV			82	68	5	155
Total	865	113	682	122	9	1791

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	109	7	0	2	0.92	119
car	273	30	129	0	2	434
bus	84	13	55	6	0	158
truck	134	22	131	24	0.97	312
unknown	602	26	246	20	0	894
NOV			78	66	5	148
Total	1202	97	639	118	9	2065

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	81	8	0	2	1	93
car	199	36	141	0	2	378
bus	61	16	60	6	0	142
truck	94	26	139	25	1	285
unknown	424	31	260	21	0	736
NOV			82	68	5	155
Total	859	117	682	122	9	1788

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	40	4	0	2	0.41	47
car	262	41	154	0	2	460
bus	30	7	25	7	0	68
truck	72	17	88	42	0.63	219
unknown	323	20	164	35	0	543
NOV			53	116	3	172
Total	728	88	484	202	6	1508

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	126	11	0	2	1	141
car	91	14	161	0	0.71	267
bus	29	6	72	2	0	110
truck	73	17	269	14	0.6	374
unknown	328	21	504	12	0	865
NOV			162	39	3	204
Total	648	70	1168	70	6	1961

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	77	6	0	1	1	86
car	193	27	105	0	2	327
bus	94	19	72	7	0	192
truck	107	23	121	22	1	275
unknown	483	27	226	19	0	755
NOV			70	59	7	136
Total	955	102	593	109	12	1771

Mexico City

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	638	41	130	366	14	1189
Total	638	41	130	366	14	1189

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	841	36	124	354	13	1369
Total	841	36	124	354	13	1369

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	617	147	127	357	14	1261
Total	617	147	127	357	14	1261

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	493	27	88	639	9	1256
Total	493	27	88	639	9	1256

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	437	23	1623	164	6	2253
Total	437	23	1623	164	6	2253

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	694	36	105	291	18	1143
Total	694	36	105	291	18	1143

Santiago

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0	0.75	0	0.75
motorcycle	3	0	0.25	0	4
car	50	14	0	1	65
bus	36	4	10	0	51
truck	16	8	6	0.25	30
unknown	5	1	0	0	6
NOV	4	16	52	4	76
Total	115	42	70	5	232

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0	1	0	1
motorcycle	4	0	0.23	0	5
car	68	12	0	0.93	81
bus	50	4	10	0	64
truck	23	7	6	0.24	37
unknown	7	0.96	0	0	8
NOV	6	15	49	4	74
Total	158	39	67	5	269

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0	0.69	0	0.69
motorcycle	3	0	0.23	0	3
car	46	12	0	0.93	59
bus	34	3	10	0	47
truck	16	7	6	0.24	29
unknown	5	0.95	0	0	6
NOV	4	15	50	4	73
Total	107	39	67	5	218

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0	1	0	1
motorcycle	2	0	0.3	0	2
car	71	16	0	1	89
bus	19	2	12	0	33
truck	13	5	11	0.16	29
unknown	4	0.66	0	0	5
NOV	3	11	92	3	109
Total	112	34	117	4	268

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0	0.22	0	0.22
motorcycle	21	0	1	0	23
car	15	67	0	0.2	82
bus	10	17	2	0	29
truck	10	78	3	0.11	91
unknown	3	10	0	0	13
NOV	3	166	24	2	194
Total	62	337	31	2	432

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0	0.75	0	0.75
motorcycle	3	0	0.25	0	4
car	50	13	0	1	64
bus	37	4	11	0	51
truck	16	8	6	0.25	31
unknown	5	1	0	0	6
NOV	4	16	52	4	75
Total	115	41	70	5	232

Sao Paulo

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
motorcycle	59	0	3	2	64
car	157	117	0	2	276
bus	74	61	20	0	155
truck	30	62	13	0.4	106
other	0.4	0.6	0	0	1
NOV	2	171	124	5	302
Total	323	411	160	9	904

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
motorcycle	76	0	3	2	81
car	201	113	0	2	315
bus	95	59	19	0	173
truck	39	61	13	0.39	114
other	0.52	0.59	0	0	1
NOV	3	167	121	5	296
Total	414	401	157	9	981

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
motorcycle	54	0	3	1	59
car	144	108	0	2	254
bus	68	57	18	0	143
truck	29	60	13	0.39	102
other	0.34	0.51	0	0	0.85
NOV	2	163	119	5	289
Total	297	388	153	9	848

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
motorcycle	33	0	3	0.82	37
car	193	133	0	3	329
bus	40	31	20	0	92
truck	23	44	19	0.29	86
other	0.26	0.36	0	0	0.62
NOV	2	117	229	4	351
Total	291	325	271	7	895

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
motorcycle	352	0	15	7	374
car	41	417	0	0.43	458
bus	19	215	4	0	238
truck	18	498	6	0.18	521
other	0.06	1	0	0	1
NOV	1	1670	55	2	1729
Total	431	2801	80	10	3321

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
motorcycle	60	0	3	2	65
car	158	116	0	2	276
bus	75	61	20	0	156
truck	31	62	13	0.4	106
other	0.4	0.6	0	0	1
NOV	2	170	123	5	301
Total	326	410	160	9	905

Vizag

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	62	4	0	0	0	67
car	33	4	19	0	0	56
bus	20	3	15	0	0	38
truck	40	10	52	4	0.33	107
other	0.33	0	0	0	0	0.33
unknown	18	3	5	0	0	25
NOV			50	8	5	63
Total	173	24	141	12	5	355

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	91	3	0	0	0	94
car	48	3	17	0	0	68
bus	31	2	13	0	0	46
truck	62	8	49	4	0.32	124
other	0.52	0	0	0	0	0.52
unknown	28	2	5	0	0	34
NOV			47	7	5	59
Total	260	19	130	11	5	426

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	61	6	0	0	0	67
car	32	5	19	0	0	56
bus	20	4	14	0	0	38
truck	40	13	52	4	0.33	109
other	0.33	0	0	0	0	0.33
unknown	18	4	5	0	0	26
NOV			50	7	5	62
Total	171	31	140	12	5	359

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	24	1	0	0	0	25
car	275	28	121	0	0	425
bus	8	0.93	4	0	0	13
truck	28	6	28	53	0.18	116
other	0.24	0	0	0	0	0.24
unknown	13	2	3	0	0	17
NOV			27	89	2	119
Total	348	37	184	142	3	715

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	113	7	0	0	0	120
car	18	2	23	0	0	43
bus	11	1	18	0	0	31
truck	37	8	104	3	0.2	151
other	0.3	0	0	0	0	0.3
unknown	16	2	10	0	0	28
NOV			100	5	3	108
Total	196	20	255	7	3	482

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	55	3	0	0	0	59
car	29	3	14	0	0	45
bus	22	3	14	0	0	39
truck	41	9	45	4	0.36	100
other	0.34	0	0	0	0	0.34
unknown	18	2	4	0	0	25
NOV			44	6	5	55
Total	166	20	121	10	5	323

Who hit whom matrix for all case cities

Baseline scenario

Casualty mode: Bus

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
bus	accra	Baseline	0.1	0	0.2	2	0	6	0	0.2	0	8	17
	bangalore		0	0	0	0	0	4	0	0	0	14	18
	belo_horizonte		0	0	0	0.57	0	0	0.38	0	0	5	6
	bogota		0.34	0	0	0.33	0	0	0	0	0	8	8
	buenos_aires		0	0	0	0	0	0	0	0	0	4	4
	cape_town		0	0	0	18	0	0.5	0	0.5	0	4	23
	delhi		0	0	1	2	0	1	0	0	0	5	9
	mexico_city		0	0	0	0	0	0	0	0	0	14	14
	santiago		0	0	0	1	0	0.25	0	0	0	4	5
	sao_paulo		0	0	2	2	0	0.4	0	0	0	5	9
	vizag		0	0	0	0	0	0.33	0	0	0	5	5

Casualty mode: Car

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
car	accra	Baseline	1	0	0.7	0	4	8	0	0.7	0.5	17	32
	bangalore		0	0	3	0	4	7	0	0	2	10	26
	belo_horizonte		0	0	0.82	0	24	0	0.27	0	0	81	106
	bogota		0	0	0.28	0	2	0.81	0	0	0	16	20
	buenos_aires		0	0	0	0	0	0	0	0	0	75	75
	cape_town		6	0	2	0	34	10	0	4	12	169	238
	delhi		0	0	2	0	6	25	0	0	21	68	122
	mexico_city		0	0	0	0	0	0	0	0	0	366	366
	santiago		0.75	0	0.25	0	10	6	0	0	0	52	70
	sao_paulo		0	0	3	0	20	13	0	0	0	124	160
	vizag		0	0	0	0	0	4	0	0	0	8	12

Casualty mode: Cycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
cycle	bangalore	Baseline	0	0	3	7	1	4	0	0	6	0	21
	buenos_aires		0	0	0	0	0	0	0	0	0	14	14
	delhi		0	0	8	35	15	25	0	0	30	0	113
	mexico_city		0	0	0	0	0	0	0	0	0	41	41
	vizag		0	0	4	4	3	10	0	0	3	0	24

Casualty mode: Motorcycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
motorcycle	accra	Baseline	1	0	0	11	7	6	0	0.5	0.9	4	30
	bangalore		3	1	0	47	59	102	0	0	18	72	302
	belo_horizonte		2	0	0	43	42	0	0	0.63	0	61	148
	bogota		3	0	0	47	32	19	0	0	0	36	136
	buenos_aires		0	0	0	0	0	0	0	0	0	187	187
	cape_town		1	0	0	36	6	1	0	2	2	0	48
	delhi		0	0	0	141	60	139	0	0	260	82	682
	mexico_city		0	0	0	0	0	0	0	0	0	130	130
	santiago		0	0	0	14	4	8	0	0	1	16	42
	sao_paulo		0	0	0	117	61	62	0	0.6	0	171	411
	vizag		0	0	0	19	15	52	0	0	5	50	141

Casualty mode: Pedestrian

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
pedestrian	accra	Baseline	0	0	7	72	34	16	0	3	18	0.3	150
	bangalore		0	0	119	87	39	62	0	0	66	0	373
	belo_horizonte		0	0	58	69	56	0	5	0.27	0	0	188
	bogota		0	0	80	107	61	13	0	0	8	0	269
	buenos_aires		0	0	0	0	0	0	0	0	0	246	246
	cape_town		0	0	8	302	61	26	0	4	15	0	416
	delhi		0	0	82	200	61	95	0	0	427	0	865
	mexico_city		0	0	0	0	0	0	0	0	0	638	638
	santiago		0	0	3	50	36	16	0	0	5	4	115
	sao_paulo		0	0	59	157	74	30	0	0.4	0	2	323
	vizag		0	0	62	33	20	40	0	0.33	18	0	173

Walking scenario

Casualty mode: Bus

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
bus	accra	Walking	0.12	0	0.19	2	0	6	0	0.2	0	8	16
	bangalore		0	0	0	0	0	4	0	0	0	13	17
	belo_horizonte		0	0	0	0.53	0	0	0.37	0	0	5	6
	bogota		0.47	0	0	0.31	0	0	0	0	0	7	8
	buenos_aires		0	0	0	0	0	0	0	0	0	4	4
	cape_town		0	0	0	17	0	0.49	0	0.49	0	4	22
	delhi		0	0	0.92	2	0	0.97	0	0	0	5	9
	mexico_city		0	0	0	0	0	0	0	0	0	13	13
	santiago		0	0	0	0.93	0	0.24	0	0	0	4	5
	sao_paulo		0	0	2	2	0	0.39	0	0	0	5	9
	vizag		0	0	0	0	0	0.32	0	0	0	5	5

Casualty mode: Car

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
car	accra	Walking	1	0	0.67	0	3	8	0	0.69	0.49	17	31
	bangalore		0	0	3	0	4	7	0	0	2	10	25
	belo_horizonte		0	0	0.75	0	23	0	0.25	0	0	77	100
	bogota		0	0	0.26	0	2	0.77	0	0	0	16	19
	buenos_aires		0	0	0	0	0	0	0	0	0	73	73
	cape_town		7	0	2	0	32	10	0	4	12	165	232
	delhi		0	0	2	0	6	24	0	0	20	66	118
	mexico_city		0	0	0	0	0	0	0	0	0	354	354
	santiago		1	0	0.23	0	10	6	0	0	0	49	67
	sao_paulo		0	0	3	0	19	13	0	0	0	121	157
	vizag		0	0	0	0	0	4	0	0	0	7	11

Casualty mode: Cycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
cycle	bangalore	Walking	0	0	2	6	0.81	3	0	0	5	0	17
	buenos_aires		0	0	0	0	0	0	0	0	0	13	13
	delhi		0	0	7	30	13	22	0	0	26	0	97
	mexico_city		0	0	0	0	0	0	0	0	0	36	36
	vizag		0	0	3	3	2	8	0	0	2	0	19

Casualty mode: Motorcycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
motorcycle	accra	Walking	1	0	0	10	7	6	0	0.49	0.88	4	30
	bangalore		4	0.81	0	43	54	98	0	0	17	69	287
	belo_horizonte		3	0	0	40	40	0	0	0.61	0	60	142
	bogota		4	0	0	43	30	18	0	0	0	35	131
	buenos_aires		0	0	0	0	0	0	0	0	0	182	182
	cape_town		1	0	0	35	6	1	0	2	1	0	47
	delhi		0	0	0	129	55	131	0	0	246	78	639
	mexico_city		0	0	0	0	0	0	0	0	0	124	124
	santiago		0	0	0	12	4	7	0	0	0.96	15	39
	sao_paulo		0	0	0	113	59	61	0	0.59	0	167	401
	vizag		0	0	0	17	13	49	0	0	5	47	130

Casualty mode: Pedestrian

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
pedestrian	accra	Walking	0	0	9	90	43	20	0	3	23	0.38	189
	bangalore		0	0	154	112	51	84	0	0	89	0	490
	belo_horizonte		0	0	79	91	77	0	7	0.37	0	0	253
	bogota		0	0	111	144	84	19	0	0	11	0	369
	buenos_aires		0	0	0	0	0	0	0	0	0	309	309
	cape_town		0	0	10	378	76	33	0	6	19	0	523
	delhi		0	0	109	273	84	134	0	0	602	0	1202
	mexico_city		0	0	0	0	0	0	0	0	0	841	841
	santiago		0	0	4	68	50	23	0	0	7	6	158
	sao_paulo		0	0	76	201	95	39	0	0.52	0	3	414
	vizag		0	0	91	48	31	62	0	0.52	28	0	260

Bicycling scenario

Casualty mode: Bus

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
bus	accra	Bicycling	0.09	0	0.18	2	0	5	0	0.18	0	8	16
	bangalore		0	0	0	0	0	4	0	0	0	14	18
	belo_horizonte		0	0	0	0.53	0	0	0.37	0	0	5	6
	bogota		0.32	0	0	0.31	0	0	0	0	0	7	8
	buenos_aires		0	0	0	0	0	0	0	0	0	4	4
	cape_town		0	0	0	16	0	0.48	0	0.48	0	4	22
	delhi		0	0	1	2	0	1	0	0	0	5	9
	mexico_city		0	0	0	0	0	0	0	0	0	14	14
	santiago		0	0	0	0.93	0	0.24	0	0	0	4	5
	sao_paulo		0	0	1	2	0	0.39	0	0	0	5	9
	vizag		0	0	0	0	0	0.33	0	0	0	5	5

Casualty mode: Car

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
car	accra	Bicycling	1	0	0.65	0	3	8	0	0.64	0.48	16	30
	bangalore		0	0	3	0	4	7	0	0	2	10	25
	belo_horizonte		0	0	0.76	0	23	0	0.25	0	0	78	101
	bogota		0	0	0.26	0	2	0.77	0	0	0	16	19
	buenos_aires		0	0	0	0	0	0	0	0	0	73	73
	cape_town		5	0	2	0	31	10	0	4	11	161	225
	delhi		0	0	2	0	6	25	0	0	21	68	122
	mexico_city		0	0	0	0	0	0	0	0	0	357	357
	santiago		0.69	0	0.23	0	10	6	0	0	0	50	67
	sao_paulo		0	0	3	0	18	13	0	0	0	119	153
	vizag		0	0	0	0	0	4	0	0	0	7	12

Casualty mode: Cycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
cycle	bangalore	Bicycling	0	0	5	13	2	7	0	0	11	0	38
	buenos_aires		0	0	0	0	0	0	0	0	0	29	29
	delhi		0	0	8	36	16	26	0	0	31	0	117
	mexico_city		0	0	0	0	0	0	0	0	0	147	147
	vizag		0	0	6	5	4	13	0	0	4	0	31

Casualty mode: Motorcycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
motorcycle	accra	Bicycling	0.91	0	0	10	7	6	0	0.46	0.85	4	29
	bangalore		3	2	0	45	56	100	0	0	18	70	293
	belo_horizonte		2	0	0	40	39	0	0	0.61	0	59	140
	bogota		3	0	0	43	30	18	0	0	0	35	128
	buenos_aires		0	0	0	0	0	0	0	0	0	185	185
	cape_town		1	0	0	34	6	1	0	2	1	0	45
	delhi		0	0	0	141	60	139	0	0	260	82	682
	mexico_city		0	0	0	0	0	0	0	0	0	127	127
	santiago		0	0	0	12	3	7	0	0	0.95	15	39
	sao_paulo		0	0	0	108	57	60	0	0.51	0	163	388
	vizag		0	0	0	19	14	52	0	0	5	50	140

Casualty mode: Pedestrian

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
pedestrian	accra	Bicycling	0	0	7	66	31	15	0	2	17	0.29	138
	bangalore		0	0	115	84	38	61	0	0	65	0	362
	belo_horizonte		0	0	54	63	52	0	4	0.25	0	0	173
	bogota		0	0	74	98	56	13	0	0	7	0	248
	buenos_aires		0	0	0	0	0	0	0	0	0	242	242
	cape_town		0	0	8	278	56	25	0	4	15	0	386
	delhi		0	0	81	199	61	94	0	0	424	0	859
	mexico_city		0	0	0	0	0	0	0	0	0	617	617
	santiago		0	0	3	46	34	16	0	0	5	4	107
	sao_paulo		0	0	54	144	68	29	0	0.34	0	2	297
	vizag		0	0	61	32	20	40	0	0.33	18	0	171

Driving scenario

Casualty mode: Bus

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
bus	accra	Driving	0.06	0	0.11	2	0	4	0	0.09	0	6	12
	bangalore		0	0	0	0	0	2	0	0	0	8	10
	belo_horizonte		0	0	0	0.71	0	0	0.24	0	0	3	4
	bogota		0.19	0	0	0.39	0	0	0	0	0	5	6
	buenos_aires		0	0	0	0	0	0	0	0	0	3	3
	cape_town		0	0	0	18	0	0.5	0	0.5	0	4	23
	delhi		0	0	0.41	2	0	0.63	0	0	0	3	6
	mexico_city		0	0	0	0	0	0	0	0	0	9	9
	santiago		0	0	0	1	0	0.16	0	0	0	3	4
	sao_paulo		0	0	0.82	3	0	0.29	0	0	0	4	7
	vizag		0	0	0	0	0	0.18	0	0	0	2	3

Casualty mode: Car

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
car	accra	Driving	1	0	0.63	0	3	9	0	0.51	0.55	22	36
	bangalore		0	0	10	0	13	41	0	0	12	59	134
	belo_horizonte		0	0	0.94	0	30	0	0.45	0	0	149	181
	bogota		0	0	0.32	0	3	1	0	0	0	29	33
	buenos_aires		0	0	0	0	0	0	0	0	0	130	130
	cape_town		6	0	2	0	34	10	0	4	12	169	238
	delhi		0	0	2	0	7	42	0	0	35	116	202
	mexico_city		0	0	0	0	0	0	0	0	0	639	639
	santiago		1	0	0.3	0	12	11	0	0	0	92	117
	sao_paulo		0	0	3	0	20	19	0	0	0	229	271
	vizag		0	0	0	0	0	53	0	0	0	89	142

Casualty mode: Cycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
cycle	bangalore	Driving	0	0	1	25	0.34	2	0	0	4	0	33
	buenos_aires		0	0	0	0	0	0	0	0	0	10	10
	delhi		0	0	4	41	7	17	0	0	20	0	88
	mexico_city		0	0	0	0	0	0	0	0	0	27	27
	vizag		0	0	1	28	0.93	6	0	0	2	0	37

Casualty mode: Motorcycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
motorcycle	accra	Driving	0.58	0	0	11	4	4	0	0.22	0.61	3	23
	bangalore		1	0.34	0	152	18	56	0	0	10	39	276
	belo_horizonte		0.98	0	0	50	18	0	0	0.37	0	39	107
	bogota		2	0	0	53	14	11	0	0	0	23	103
	buenos_aires		0	0	0	0	0	0	0	0	0	114	114
	cape_town		1	0	0	36	6	1	0	2	2	0	49
	delhi		0	0	0	154	25	88	0	0	164	53	484
	mexico_city		0	0	0	0	0	0	0	0	0	88	88
	santiago		0	0	0	16	2	5	0	0	0.66	11	34
	sao_paulo		0	0	0	133	31	44	0	0.36	0	117	325
	vizag		0	0	0	121	4	28	0	0	3	27	184

Casualty mode: Pedestrian

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
pedestrian	accra	Driving	0	0	4	74	19	11	0	1	12	0.23	122
	bangalore		0	0	49	388	16	47	0	0	50	0	550
	belo_horizonte		0	0	30	102	31	0	3	0.2	0	0	167
	bogota		0	0	42	152	33	10	0	0	6	0	243
	buenos_aires		0	0	0	0	0	0	0	0	0	174	174
	cape_town		0	0	8	302	61	26	0	4	15	0	415
	delhi		0	0	40	262	30	72	0	0	323	0	728
	mexico_city		0	0	0	0	0	0	0	0	0	493	493
	santiago		0	0	2	71	19	13	0	0	4	3	112
	sao_paulo		0	0	33	193	40	23	0	0.26	0	2	291
	vizag		0	0	24	275	8	28	0	0.24	13	0	348

Motorcycling scenario

Casualty mode: Bus

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
bus	accra	Motorcycling	0.03	0	1	0.42	0	2	0	0.03	0	4	7
	bangalore		0	0	0	0	0	4	0	0	0	13	17
	belo_horizonte		0	0	0	0.12	0	0	0.14	0	0	2	2
	bogota		0.1	0	0	0.07	0	0	0	0	0	3	4
	buenos_aires		0	0	0	0	0	0	0	0	0	2	2
	cape_town		0	0	0	3	0	0.21	0	0.21	0	2	6
	delhi		0	0	1	0.71	0	0.6	0	0	0	3	6
	mexico_city		0	0	0	0	0	0	0	0	0	6	6
	santiago		0	0	0	0.2	0	0.11	0	0	0	2	2
	sao_paulo		0	0	7	0.43	0	0.18	0	0	0	2	10
	vizag		0	0	0	0	0	0.2	0	0	0	3	3

Casualty mode: Car

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
car	accra	Motorcycling	0.3	0	4	0	0.7	3	0	0.12	0.18	8	15
	bangalore		0	0	3	0	3	7	0	0	2	9	24
	belo_horizonte		0	0	4	0	5	0	0.11	0	0	39	48
	bogota		0	0	1	0	0.51	0.33	0	0	0	8	10
	buenos_aires		0	0	0	0	0	0	0	0	0	33	33
	cape_town		2	0	38	0	6	5	0	2	5	76	134
	delhi		0	0	2	0	2	14	0	0	12	39	70
	mexico_city		0	0	0	0	0	0	0	0	0	164	164
	santiago		0.22	0	1	0	2	3	0	0	0	24	31
	sao_paulo		0	0	15	0	4	6	0	0	0	55	80
	vizag		0	0	0	0	0	3	0	0	0	5	7

Casualty mode: Cycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
cycle	bangalore	Motorcycling	0	0	3	6	0.91	4	0	0	6	0	20
	buenos_aires		0	0	0	0	0	0	0	0	0	8	8
	delhi		0	0	11	14	6	17	0	0	21	0	70
	mexico_city		0	0	0	0	0	0	0	0	0	23	23
	vizag		0	0	7	2	1	8	0	0	2	0	20

Casualty mode: Motorcycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
motorcycle	accra	Motorcycling	6	0	0	49	33	49	0	2	8	40	188
	bangalore		3	1	0	46	58	108	0	0	19	76	311
	belo_horizonte		12	0	0	201	173	0	0	5	0	590	981
	bogota		21	0	0	242	154	176	0	0	0	392	984
	buenos_aires		0	0	0	0	0	0	0	0	0	1890	1890
	cape_town		22	0	0	468	76	35	0	49	42	0	693
	delhi		0	0	0	161	72	269	0	0	504	162	1168
	mexico_city		0	0	0	0	0	0	0	0	0	1623	1623
	santiago		0	0	0	67	17	78	0	0	10	166	337
	sao_paulo		0	0	0	417	215	498	0	1	0	1670	2801
	vizag		0	0	0	23	18	104	0	0	10	100	255

Casualty mode: Pedestrian

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
pedestrian	accra	Motorcycling	0	0	52	19	9	8	0	0.64	9	0.18	98
	bangalore		0	0	123	79	35	61	0	0	65	0	364
	belo_horizonte		0	0	349	21	15	0	2	0.14	0	0	388
	bogota		0	0	551	32	17	7	0	0	4	0	612
	buenos_aires		0	0	0	0	0	0	0	0	0	144	144
	cape_town		0	0	194	88	16	16	0	3	10	0	327
	delhi		0	0	126	91	29	73	0	0	328	0	648
	mexico_city		0	0	0	0	0	0	0	0	0	437	437
	santiago		0	0	21	15	10	10	0	0	3	3	62
	sao_paulo		0	0	352	41	19	18	0	0.06	0	1	431
	vizag		0	0	113	18	11	37	0	0.3	16	0	196

Public Transport scenario

Casualty mode: Bus

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
bus	accra	Public Transport	0.1	0	0.2	2	0	6	0	0.2	0	8	17
	bangalore		0	0	0	0	0	7	0	0	0	23	30
	belo_horizonte		0	0	0	0.57	0	0	0.39	0	0	5	6
	bogota		0.34	0	0	0.33	0	0	0	0	0	8	8
	buenos_aires		0	0	0	0	0	0	0	0	0	5	5
	cape_town		0	0	0	20	0	0.99	0	0.99	0	8	30
	delhi		0	0	1	2	0	1	0	0	0	7	12
	mexico_city		0	0	0	0	0	0	0	0	0	18	18
	santiago		0	0	0	1	0	0.25	0	0	0	4	5
	sao_paulo		0	0	2	2	0	0.4	0	0	0	5	9
	vizag		0	0	0	0	0	0.36	0	0	0	5	5

Casualty mode: Car

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
car	accra	Public Transport	1	0	0.69	0	4	8	0	0.7	0.5	17	32
	bangalore		0	0	1	0	4	4	0	0	1	6	17
	belo_horizonte		0	0	0.81	0	24	0	0.27	0	0	81	106
	bogota		0	0	0.28	0	2	0.81	0	0	0	16	20
	buenos_aires		0	0	0	0	0	0	0	0	0	49	49
	cape_town		4	0	0.4	0	33	6	0	3	7	100	153
	delhi		0	0	1	0	7	22	0	0	19	59	109
	mexico_city		0	0	0	0	0	0	0	0	0	291	291
	santiago		0.75	0	0.25	0	11	6	0	0	0	52	70
	sao_paulo		0	0	3	0	20	13	0	0	0	123	160
	vizag		0	0	0	0	0	4	0	0	0	6	10

Casualty mode: Cycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
cycle	bangalore	Public Transport	0	0	2	4	1	4	0	0	5	0	16
	buenos_aires		0	0	0	0	0	0	0	0	0	11	11
	delhi		0	0	6	27	19	23	0	0	27	0	102
	mexico_city		0	0	0	0	0	0	0	0	0	36	36
	vizag		0	0	3	3	3	9	0	0	2	0	20

Casualty mode: Motorcycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
motorcycle	accra	Public Transport	1	0	0	11	7	6	0	0.5	0.9	4	30
	bangalore		2	0.55	0	18	60	64	0	0	11	45	201
	belo_horizonte		2	0	0	43	42	0	0	0.63	0	61	148
	bogota		3	0	0	46	32	19	0	0	0	36	136
	buenos_aires		0	0	0	0	0	0	0	0	0	121	121
	cape_town		0.48	0	0	7	4	0.44	0	0.62	0.53	0	13
	delhi		0	0	0	105	72	121	0	0	226	70	593
	mexico_city		0	0	0	0	0	0	0	0	0	105	105
	santiago		0	0	0	13	4	8	0	0	1	16	41
	sao_paulo		0	0	0	116	61	62	0	0.6	0	170	410
	vizag		0	0	0	14	14	45	0	0	4	44	121

Casualty mode: Pedestrian

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
pedestrian	accra	Public Transport	0	0	7	72	34	16	0	3	18	0.3	150
	bangalore		0	0	83	59	72	70	0	0	74	0	358
	belo_horizonte		0	0	58	68	57	0	5	0.27	0	0	188
	bogota		0	0	80	106	61	13	0	0	8	0	269
	buenos_aires		0	0	0	0	0	0	0	0	0	312	312
	cape_town		0	0	3	218	123	32	0	6	19	0	400
	delhi		0	0	77	193	94	107	0	0	483	0	955
	mexico_city		0	0	0	0	0	0	0	0	0	694	694
	santiago		0	0	3	50	37	16	0	0	5	4	115
	sao_paulo		0	0	60	158	75	31	0	0.4	0	2	326
	vizag		0	0	55	29	22	41	0	0.34	18	0	166

Who hit whom matrix for all case cities as CSV

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Change in deaths due to injury per billion km

[1] “accra”

accra

stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	1.5932	16	1.6311	16	1.5580	15	1.7691	12	1.8422	7	1.5835	16
car	6.9929	33	6.7282	31	6.6343	30	5.6681	38	8.8505	16	6.8077	32
motorcycle	101.3421	31	97.0570	29	99.6129	29	111.4618	24	27.6855	187	98.6345	30
pedestrian	156.0097	150	156.0418	188	152.3336	138	168.5839	121	178.3929	98	155.4773	150

[1] “bangalore”

bangalore

stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	4.2321	18	4.1986	17	4.3423	18	4.7564	10	4.3727	17	3.9014	30
car	35.9723	26	37.8392	26	37.1191	26	18.9316	135	35.7365	24	38.9234	16
cycle	63.8479	21	62.9381	17	55.7919	38	175.2340	32	62.2408	20	56.8003	16
motorcycle	42.7549	302	42.4142	286	42.7759	294	78.9598	276	41.2042	311	50.0269	201
pedestrian	247.5342	373	229.2061	490	245.2673	363	509.2355	550	246.6575	363	208.8154	358

[1] “belo_horizonte”

belo_horizonte

stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.2848	6	0.2921	6	0.2962	6	0.2988	4	0.2556	2	0.2833	6
car	19.8573	106	20.1151	101	20.0814	102	16.3958	180	21.2526	48	20.0166	106
motorcycle	167.4916	149	166.4729	144	164.3994	141	204.3547	108	74.4718	981	167.8684	149
pedestrian	127.2956	188	114.2728	254	123.6015	173	144.4146	166	459.6144	388	126.7476	188

[1] “bogota”

bogota

stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.2612	8	0.2350	7	0.2373	7	0.2591	5	0.2551	3	0.2598	8
car	2.2781	19	2.4145	19	2.3975	19	1.9884	33	2.8859	10	2.2955	19
motorcycle	120.4840	137	117.6315	130	118.3715	129	149.4118	103	50.7199	985	119.9388	136
pedestrian	122.9592	269	110.7473	369	119.5058	248	141.9771	243	482.6990	611	122.0215	268

[1] “buenos_aires”

buenos_aires

stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.1997	4	0.2045	4	0.2054	4	0.2580	3	0.2658	2	0.1802	5
car	12.5297	75	12.5295	73	12.5172	73	11.0962	130	14.7911	33	13.4648	49
cycle	39.4421	14	39.6985	13	34.5326	29	43.5128	10	44.9078	8	42.2545	11
motorcycle	231.0239	187	233.6049	182	231.8736	185	251.7143	114	150.6803	1890	249.2838	121
pedestrian	159.6987	246	152.1091	309	160.0957	242	169.9204	174	175.4738	144	151.0715	312

[1] “cape_town”

cape_town

stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.7929	24	0.7062	21	0.6961	20	0.7272	22	0.4572	5	0.5352	30
car	4.4017	237	4.4329	232	4.3714	224	4.3984	237	6.2494	134	5.2923	153
motorcycle	69.0597	49	66.1313	46	65.5297	45	67.6503	48	12.3459	693	65.1749	13
pedestrian	48.7691	417	49.2277	522	47.7500	386	48.7968	416	67.2935	327	41.4392	401

[1] “delhi”

delhi

stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.9871	9	1.0170	9	0.9880	9	1.1153	6	1.1887	6	0.8111	11
car	12.4116	122	12.4894	118	12.4214	122	10.4357	202	13.1755	69	12.9220	108
cycle	104.1834	113	106.5633	98	103.8997	117	128.5150	89	94.0063	69	106.9107	102
motorcycle	77.5353	682	77.6267	639	77.5815	682	91.8324	484	58.4384	1168	82.1804	594
pedestrian	320.8831	865	290.5150	1202	321.2836	859	367.1352	727	317.5840	647	311.5702	955

[1] “mexico_city”

mexico_city

stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.6950	14	0.6772	13	0.7184	14	0.7275	9	0.7432	6	0.6545	18
car	24.7889	366	24.7811	354	24.9142	357	21.3213	639	28.9183	164	25.9889	291
cycle	80.0063	41	80.5886	36	65.9797	147	86.1048	27	91.6035	23	83.1881	36
motorcycle	74.8441	130	75.5316	124	75.0169	127	80.5071	88	48.4742	1623	78.5185	105
pedestrian	127.8062	638	121.3597	841	128.5701	617	133.6460	493	136.3725	437	125.5566	694

[1] “santiago”

santiago

stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.5486	5	0.5648	5	0.5715	5	0.7143	4	0.5849	2	0.5445	5
car	18.5959	69	18.8756	66	18.9333	67	15.2680	116	19.6278	30	18.9882	70
motorcycle	78.2985	41	77.8651	39	76.8843	38	108.0010	35	38.6464	338	80.3519	42
pedestrian	114.6387	114	104.8217	158	113.6392	107	146.4157	112	107.8227	62	115.3061	115

[1] “sao_paulo”

sao_paulo

stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.1726	9	0.1763	9	0.1596	8	0.2267	8	0.4542	9	0.1715	9
car	6.1578	160	6.1582	156	6.1659	153	5.8531	271	7.9408	80	6.1431	159
motorcycle	116.5738	412	115.3919	401	115.1493	389	137.1098	325	49.9837	2801	116.4512	410
pedestrian	52.2951	322	51.6271	415	51.1700	297	64.1624	291	127.5682	431	52.5553	326

[1] “vizag”

vizag

stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.4246	5	0.4423	5	0.4297	5	0.3583	2	0.4572	3	0.3914	5
car	19.6205	12	19.2139	11	18.1422	11	14.1888	142	22.7626	8	19.6926	10
cycle	42.5474	24	39.2333	18	41.3640	32	127.8372	38	46.0664	20	40.1213	20
motorcycle	29.2577	141	29.5545	131	29.4069	140	77.3864	183	24.1432	255	29.8764	121
pedestrian	117.0945	173	105.3065	261	116.4021	171	349.5632	348	145.8633	195	107.8320	165

Change in deaths due to injury per Billion km across cities

Injury per billion km across all cities

stage_mode	bisc_accra	bisc_bangalore	bisc_belo_horizonte	bisc_bogota	bisc_buenos_aires	bisc_cape_town	bisc_delhi	bisc_mexico_city	bisc_santiago	bisc_sao_paulo	bisc_vizag	bl_accra	bl_bangalore	bl_belo_horizonte	bl_bogota	bl_buenos_aires	bl_cape_town	bl_delhi	bl_mexico_city	bl_santiago	bl_sao_paulo	bl_vizag	bssc_accra	bssc_bangalore	bssc_belo_horizonte	bssc_bogota	bssc_buenos_aires	bssc_cape_town	bssc_delhi	bssc_mexico_city	bssc_santiago	bssc_sao_paulo	bssc_vizag	csc_accra	csc_bangalore	csc_belo_horizonte	csc_bogota	csc_buenos_aires	csc_cape_town	csc_delhi	csc_mexico_city	csc_santiago	csc_sao_paulo	csc_vizag	mcsc_accra	mcsc_bangalore	mcsc_belo_horizonte	mcsc_bogota	mcsc_buenos_aires	mcsc_cape_town	mcsc_delhi	mcsc_mexico_city	mcsc_santiago	mcsc_sao_paulo	mcsc_vizag	wsc_accra	wsc_bangalore	wsc_belo_horizonte	wsc_bogota	wsc_buenos_aires	wsc_cape_town	wsc_delhi	wsc_mexico_city	wsc_santiago	wsc_sao_paulo	wsc_vizag
bus	1.5580	4.3423	0.2962	0.2373	0.2054	0.6961	0.9880	0.7184	0.5715	0.1596	0.4297	1.5932	4.2321	0.2848	0.2612	0.1997	0.7929	0.9871	0.6950	0.5486	0.1726	0.4246	1.5835	3.9014	0.2833	0.2598	0.1802	0.5352	0.8111	0.6545	0.5445	0.1715	0.3914	1.7691	4.7564	0.2988	0.2591	0.2580	0.7272	1.1153	0.7275	0.7143	0.2267	0.3583	1.8422	4.3727	0.2556	0.2551	0.2658	0.4572	1.1887	0.7432	0.5849	0.4542	0.4572	1.6311	4.1986	0.2921	0.2350	0.2045	0.7062	1.0170	0.6772	0.5648	0.1763	0.4423
car	6.6343	37.1191	20.0814	2.3975	12.5172	4.3714	12.4214	24.9142	18.9333	6.1659	18.1422	6.9929	35.9723	19.8573	2.2781	12.5297	4.4017	12.4116	24.7889	18.5959	6.1578	19.6205	6.8077	38.9234	20.0166	2.2955	13.4648	5.2923	12.9220	25.9889	18.9882	6.1431	19.6926	5.6681	18.9316	16.3958	1.9884	11.0962	4.3984	10.4357	21.3213	15.2680	5.8531	14.1888	8.8505	35.7365	21.2526	2.8859	14.7911	6.2494	13.1755	28.9183	19.6278	7.9408	22.7626	6.7282	37.8392	20.1151	2.4145	12.5295	4.4329	12.4894	24.7811	18.8756	6.1582	19.2139
motorcycle	99.6129	42.7759	164.3994	118.3715	231.8736	65.5297	77.5815	75.0169	76.8843	115.1493	29.4069	101.3421	42.7549	167.4916	120.4840	231.0239	69.0597	77.5353	74.8441	78.2985	116.5738	29.2577	98.6345	50.0269	167.8684	119.9388	249.2838	65.1749	82.1804	78.5185	80.3519	116.4512	29.8764	111.4618	78.9598	204.3547	149.4118	251.7143	67.6503	91.8324	80.5071	108.0010	137.1098	77.3864	27.6855	41.2042	74.4718	50.7199	150.6803	12.3459	58.4384	48.4742	38.6464	49.9837	24.1432	97.0570	42.4142	166.4729	117.6315	233.6049	66.1313	77.6267	75.5316	77.8651	115.3919	29.5545
pedestrian	152.3336	245.2673	123.6015	119.5058	160.0957	47.7500	321.2836	128.5701	113.6392	51.1700	116.4021	156.0097	247.5342	127.2956	122.9592	159.6987	48.7691	320.8831	127.8062	114.6387	52.2951	117.0945	155.4773	208.8154	126.7476	122.0215	151.0715	41.4392	311.5702	125.5566	115.3061	52.5553	107.8320	168.5839	509.2355	144.4146	141.9771	169.9204	48.7968	367.1352	133.6460	146.4157	64.1624	349.5632	178.3929	246.6575	459.6144	482.6990	175.4738	67.2935	317.5840	136.3725	107.8227	127.5682	145.8633	156.0418	229.2061	114.2728	110.7473	152.1091	49.2277	290.5150	121.3597	104.8217	51.6271	105.3065
cycle	0.0000	55.7919	0.0000	0.0000	34.5326	0.0000	103.8997	65.9797	0.0000	0.0000	41.3640	0.0000	63.8479	0.0000	0.0000	39.4421	0.0000	104.1834	80.0063	0.0000	0.0000	42.5474	0.0000	56.8003	0.0000	0.0000	42.2545	0.0000	106.9107	83.1881	0.0000	0.0000	40.1213	0.0000	175.2340	0.0000	0.0000	43.5128	0.0000	128.5150	86.1048	0.0000	0.0000	127.8372	0.0000	62.2408	0.0000	0.0000	44.9078	0.0000	94.0063	91.6035	0.0000	0.0000	46.0664	0.0000	62.9381	0.0000	0.0000	39.6985	0.0000	106.5633	80.5886	0.0000	0.0000	39.2333

# of deaths due to injury per 100,000 people

[1] “accra”

accra

stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.54	0.54	0.51	0.40	0.24	0.54	2.77
car	1.11	1.04	1.01	1.28	0.54	1.08	6.06
motorcycle	1.04	0.98	0.98	0.81	6.30	1.01	11.12
pedestrian	5.06	6.34	4.65	4.08	3.30	5.06	28.49
Total	7.75	8.90	7.15	6.57	10.38	7.69	48.44

[1] “bangalore”

bangalore

stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.28	0.26	0.28	0.15	0.26	0.46	1.69
car	0.40	0.40	0.40	2.08	0.37	0.25	3.90
cycle	0.32	0.26	0.58	0.49	0.31	0.25	2.21
motorcycle	4.65	4.40	4.52	4.25	4.79	3.09	25.70
pedestrian	5.74	7.54	5.59	8.47	5.59	5.51	38.44
Total	11.39	12.86	11.37	15.44	11.32	9.56	71.94

[1] “belo_horizonte”

belo_horizonte

stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.15	0.15	0.15	0.10	0.05	0.15	0.75
car	2.70	2.57	2.60	4.58	1.22	2.70	16.37
motorcycle	3.79	3.66	3.59	2.75	24.96	3.79	42.54
pedestrian	4.78	6.46	4.40	4.22	9.87	4.78	34.51
Total	11.42	12.84	10.74	11.65	36.10	11.42	94.17

[1] “bogota”

bogota

stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.14	0.12	0.12	0.09	0.05	0.14	0.66
car	0.32	0.32	0.32	0.56	0.17	0.32	2.01
motorcycle	2.33	2.22	2.20	1.75	16.78	2.32	27.60
pedestrian	4.58	6.29	4.23	4.14	10.41	4.57	34.22
Total	7.37	8.95	6.87	6.54	27.41	7.35	64.49

[1] “buenos_aires”

buenos_aires

stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.05	0.05	0.05	0.04	0.03	0.07	0.29
car	1.03	1.00	1.00	1.78	0.45	0.67	5.93
cycle	0.19	0.18	0.40	0.14	0.11	0.15	1.17
motorcycle	2.56	2.49	2.53	1.56	25.87	1.66	36.67
pedestrian	3.37	4.23	3.31	2.38	1.97	4.27	19.53
Total	7.20	7.95	7.29	5.90	28.43	6.82	63.59

[1] “cape_town”

cape_town

stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.15	0.13	0.13	0.14	0.03	0.19	0.77
car	1.51	1.48	1.43	1.51	0.85	0.97	7.75
motorcycle	0.31	0.29	0.29	0.31	4.41	0.08	5.69
pedestrian	2.66	3.32	2.46	2.65	2.08	2.55	15.72
Total	4.63	5.22	4.31	4.61	7.37	3.79	29.93

[1] “delhi”

delhi

stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.08	0.08	0.08	0.05	0.05	0.09	0.43
car	1.03	1.00	1.03	1.71	0.58	0.92	6.27
cycle	0.96	0.83	0.99	0.75	0.58	0.86	4.97
motorcycle	5.78	5.41	5.78	4.10	9.90	5.03	36.00
pedestrian	7.33	10.18	7.28	6.16	5.48	8.09	44.52
Total	15.18	17.50	15.16	12.77	16.59	14.99	92.19

[1] “mexico_city”

mexico_city

stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.09	0.09	0.09	0.06	0.04	0.12	0.49
car	2.44	2.36	2.38	4.26	1.09	1.94	14.47
cycle	0.27	0.24	0.98	0.18	0.15	0.24	2.06
motorcycle	0.87	0.83	0.85	0.59	10.83	0.70	14.67
pedestrian	4.26	5.61	4.12	3.29	2.92	4.63	24.83
Total	7.93	9.13	8.42	8.38	15.03	7.63	56.52

[1] “santiago”

santiago

stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.10	0.10	0.10	0.08	0.04	0.10	0.52
car	1.32	1.26	1.28	2.22	0.57	1.34	7.99
motorcycle	0.79	0.75	0.73	0.67	6.48	0.80	10.22
pedestrian	2.18	3.03	2.05	2.15	1.19	2.20	12.80
Total	4.39	5.14	4.16	5.12	8.28	4.44	31.53

[1] “sao_paulo”

sao_paulo

stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.06	0.06	0.05	0.05	0.06	0.06	0.34
car	1.02	0.99	0.97	1.73	0.51	1.01	6.23
motorcycle	2.62	2.55	2.48	2.07	17.84	2.61	30.17
pedestrian	2.05	2.64	1.89	1.85	2.74	2.08	13.25
Total	5.75	6.24	5.39	5.70	21.15	5.76	49.99

[1] “vizag”

vizag

stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.39	0.39	0.39	0.16	0.23	0.39	1.95
car	0.93	0.85	0.85	11.03	0.62	0.78	15.06
cycle	1.86	1.40	2.49	2.95	1.55	1.55	11.80
motorcycle	10.95	10.18	10.88	14.22	19.81	9.40	75.44
pedestrian	13.44	20.27	13.28	27.03	15.15	12.82	101.99
Total	27.57	33.09	27.89	55.39	37.36	24.94	206.24